期刊
ENERGY
卷 200, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.117382
关键词
Wind speed; Wind power density; Reanalysis datasets; Observations; Northern Hemisphere
资金
- National Centers for Environmental Information (NCEI)
- NCAR Research Data Archive (RDA)
- National Key R&D Program of China [2018YFA0605904]
- National Natural Science Foundation of China [41831175, 91937302, 41721004]
- Key Deployment Project of Centre for Ocean Mega-Research of Science, Chinese Academy of Sciences [COMS2019QXX]
- Strategic Priority Research Programof Chinese Academy of Sciences [XDA20060501]
Reanalysis products have become more and more popular for wind energy scientific community to analyze the wind speed variability and get long-term wind power estimations. The present study evaluates the biases of near-surface wind speed and wind power density in four of the most reputable reanalysis datasets, which include ERA-Interim, JRA-55, CFS and MERRA-2. The results indicate that the abilities of reanalysis products to reproduce the variabilities of wind speeds are different in different regions. JRA-55 and CFS offer the best estimates of annual and seasonal variabilities of surface wind speeds over the Northern Hemisphere. In detail, JRA-55 is the best to reproduce surface wind speeds in Asia, CFS has the best performance in Europe, and MERRA-2 just can reproduce the central part of North America. All the four datasets show decreasing tendencies in surface winds over the Northern Hemisphere during 1980-2016, although the trends are largely diverse among them. The most significant disagreements of wind speed trends are encountered between JRA-55 and MERRA-2, which are likely related to the different methodologies from the lowest model level that reanalyses use. The main drivers of wind speed trends are the changes of large-scale circulation, urbanization, and aerosol emissions. (C) 2020 Elsevier Ltd. All rights reserved.
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